PT-2024-27274 · Mlflow+1 · Mlflow+1

Published 2024-06-04 · Updated 2024-06-08 · CVE-2024-37059

Positive Technologies (AI Summary)

CVSS v3.1

8.8

High

Base vector

AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Name of the Vulnerable Software and Affected Versions MLflow versions 0.5.0 and newer

Description The issue allows deserialization of untrusted data, enabling a maliciously uploaded PyTorch model to run arbitrary code on an end user's system when interacted with.

Recommendations For MLflow versions 0.5.0 and newer, consider restricting the upload and interaction of PyTorch models from untrusted sources until a patch is available. As a temporary workaround, consider disabling the deserialization of untrusted data in the MLflow platform to minimize the risk of exploitation. At the moment, there is no information about a newer version that contains a fix for this vulnerability.

Exploit

Deserialization of Untrusted Data

Weakness Enumeration

CWE-502

Related Identifiers

BIT-MLFLOW-2024-37059

CVE-2024-37059

GHSA-WF7F-8FXF-XFXC

Affected Products

Mlflow

Pytorch

References · 7

• 🔥 https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 · Exploit
• https://nvd.nist.gov/vuln/detail/CVE-2024-37059 · Security Note
• https://osv.dev/vulnerability/CVE-2024-37059 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-wf7f-8fxf-xfxc · Vendor Advisory
• https://osv.dev/vulnerability/BIT-mlflow-2024-37059 · Vendor Advisory
• https://github.com/mlflow/mlflow · Note
• https://t.me/cvenotify/81909 · Telegram Post